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Characterizing neuropathic pain profiles: enriching interpretation of painDETECT.

Cappelleri JC, Koduru V, Bienen EJ, Sadosky A - Patient Relat Outcome Meas (2016)

Bottom Line: Both painDETECT versions discriminated among the symptoms with similar probabilities across the score ranges.Using these data, the probability of moderately experiencing each pain sensory item was estimated for a particular score, providing a pain profile.These results can help characterize NeP symptomatology, enrich interpretation of painDETECT scores, and provide a basis for individualizing NeP management.

View Article: PubMed Central - PubMed

Affiliation: Pfizer Inc, Groton, CT, USA.

ABSTRACT

Purpose: To psychometrically evaluate painDETECT, a patient-reported screening questionnaire for neuropathic pain (NeP), for discriminating among sensory pain symptoms (burning, tingling/prickling, light touching, sudden pain attacks/electric shock-type pain, cold/heat, numbness, and slight pressure).

Methods: The seven-item version of painDETECT provides an overall score that targets only sensory symptoms, while the nine-item version adds responses on two items to the overall score, covering pain course pattern and pain radiation. Both versions have relevance in terms of characterizing broad NeP. The nine- and seven-item versions of painDETECT were administered to subjects with confirmed NeP across six conditions identified during office visits to US community-based physicians. Responses on the sensory symptom items were dichotomized into "at least moderate" (ie, moderate, strongly, very strongly) relative to the combined other responses (never, hardly noticed, slightly). Logistic regression of dichotomized variables on the total painDETECT score provided probabilities of experiencing each symptom across the range of painDETECT scores.

Results: Both painDETECT versions discriminated among the symptoms with similar probabilities across the score ranges. Using these data, the probability of moderately experiencing each pain sensory item was estimated for a particular score, providing a pain profile. Additionally, the likelihood of experiencing each sensation was determined for a discrete increase in score, ie, the odds of at least a moderate sensation of burning (versus less than a moderate sensation) was 1.29 for a 1-point increase, 3.52 for a 5-point increase, and 12.42 for every 10-point increase in the nine-item painDETECT score.

Conclusion: painDETECT differentiates pain profiles across the range of scores such that, for a particular score, the probability of experiencing at least a moderate sensation of each symptom was determined and compared. These results can help characterize NeP symptomatology, enrich interpretation of painDETECT scores, and provide a basis for individualizing NeP management.

No MeSH data available.


Related in: MedlinePlus

Probability of experiencing at least a moderate sensation by painDETECT score on the nine-item version.
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f1-prom-7-093: Probability of experiencing at least a moderate sensation by painDETECT score on the nine-item version.

Mentions: The ability to discriminate among the sensory pain symptoms was observed on the nine-item (Figure 1) and seven-item (Figure 2) painDETECT, and the probabilities of experiencing at least a moderate sensation for each of the sensory items were generally similar on the two versions. For each version, clusters of symptoms with similar probabilities of at least a moderate sensation were observed (Figures 1 and 2). In one cluster, light touching and cold/heat appeared to jointly have a lower such probability across the score range than the other symptoms. The cluster of burning, numbness, and tingling/prickling generally had the highest probabilities of a tangible sensation. There was also a distinct mutual separation of pain attacks and slight pressure as well as separation of these from the other symptoms, with the latter showing the greatest separation relative to the other symptoms.


Characterizing neuropathic pain profiles: enriching interpretation of painDETECT.

Cappelleri JC, Koduru V, Bienen EJ, Sadosky A - Patient Relat Outcome Meas (2016)

Probability of experiencing at least a moderate sensation by painDETECT score on the nine-item version.
© Copyright Policy
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4940005&req=5

f1-prom-7-093: Probability of experiencing at least a moderate sensation by painDETECT score on the nine-item version.
Mentions: The ability to discriminate among the sensory pain symptoms was observed on the nine-item (Figure 1) and seven-item (Figure 2) painDETECT, and the probabilities of experiencing at least a moderate sensation for each of the sensory items were generally similar on the two versions. For each version, clusters of symptoms with similar probabilities of at least a moderate sensation were observed (Figures 1 and 2). In one cluster, light touching and cold/heat appeared to jointly have a lower such probability across the score range than the other symptoms. The cluster of burning, numbness, and tingling/prickling generally had the highest probabilities of a tangible sensation. There was also a distinct mutual separation of pain attacks and slight pressure as well as separation of these from the other symptoms, with the latter showing the greatest separation relative to the other symptoms.

Bottom Line: Both painDETECT versions discriminated among the symptoms with similar probabilities across the score ranges.Using these data, the probability of moderately experiencing each pain sensory item was estimated for a particular score, providing a pain profile.These results can help characterize NeP symptomatology, enrich interpretation of painDETECT scores, and provide a basis for individualizing NeP management.

View Article: PubMed Central - PubMed

Affiliation: Pfizer Inc, Groton, CT, USA.

ABSTRACT

Purpose: To psychometrically evaluate painDETECT, a patient-reported screening questionnaire for neuropathic pain (NeP), for discriminating among sensory pain symptoms (burning, tingling/prickling, light touching, sudden pain attacks/electric shock-type pain, cold/heat, numbness, and slight pressure).

Methods: The seven-item version of painDETECT provides an overall score that targets only sensory symptoms, while the nine-item version adds responses on two items to the overall score, covering pain course pattern and pain radiation. Both versions have relevance in terms of characterizing broad NeP. The nine- and seven-item versions of painDETECT were administered to subjects with confirmed NeP across six conditions identified during office visits to US community-based physicians. Responses on the sensory symptom items were dichotomized into "at least moderate" (ie, moderate, strongly, very strongly) relative to the combined other responses (never, hardly noticed, slightly). Logistic regression of dichotomized variables on the total painDETECT score provided probabilities of experiencing each symptom across the range of painDETECT scores.

Results: Both painDETECT versions discriminated among the symptoms with similar probabilities across the score ranges. Using these data, the probability of moderately experiencing each pain sensory item was estimated for a particular score, providing a pain profile. Additionally, the likelihood of experiencing each sensation was determined for a discrete increase in score, ie, the odds of at least a moderate sensation of burning (versus less than a moderate sensation) was 1.29 for a 1-point increase, 3.52 for a 5-point increase, and 12.42 for every 10-point increase in the nine-item painDETECT score.

Conclusion: painDETECT differentiates pain profiles across the range of scores such that, for a particular score, the probability of experiencing at least a moderate sensation of each symptom was determined and compared. These results can help characterize NeP symptomatology, enrich interpretation of painDETECT scores, and provide a basis for individualizing NeP management.

No MeSH data available.


Related in: MedlinePlus